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Yael Rapson

Showing results (11-20 of 14) with videos related to

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Clinical Imaging|November 10, 2020
Timing to imaging and surgery after neoadjuvant therapy for breast cancerAhuva Grubstein, Yael Rapson, Salomon M Stemmer, et al.
Breast Cancer Research and Treatment|April 8, 2022
Rate of breast biopsy referrals in female BRCA mutation carriers aged 50 years or more: a retrospective comparative study and matched analysisAdi Pomerantz, Daliah Tsoref, Ahuva Grubstein, et al.
European Journal of Surgical Oncology : the Journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology|December 6, 2019
Ultrasound guided tattooing of axillary lymph nodes in breast cancer patients prior to neoadjuvant therapy, and identification of tattooed nodes at the time of surgeryTanir M Allweis, Tehillah Menes, Noa Rotbart, et al.
European Radiology|May 30, 2021
COVID-19 classification of X-ray images using deep neural networksDaphna Keidar, Daniel Yaron, Elisha Goldstein, et al.
Pageof 2

Showing results (11-20 of 14) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 14 results.
Clinical Imaging|November 10, 2020
Timing to imaging and surgery after neoadjuvant therapy for breast cancerAhuva Grubstein, Yael Rapson, Salomon M Stemmer, et al.
Breast Cancer Research and Treatment|April 8, 2022
Rate of breast biopsy referrals in female BRCA mutation carriers aged 50 years or more: a retrospective comparative study and matched analysisAdi Pomerantz, Daliah Tsoref, Ahuva Grubstein, et al.
European Journal of Surgical Oncology : the Journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology|December 6, 2019
Ultrasound guided tattooing of axillary lymph nodes in breast cancer patients prior to neoadjuvant therapy, and identification of tattooed nodes at the time of surgeryTanir M Allweis, Tehillah Menes, Noa Rotbart, et al.
European Radiology|May 30, 2021
COVID-19 classification of X-ray images using deep neural networksDaphna Keidar, Daniel Yaron, Elisha Goldstein, et al.
Pageof 2